Faults Diagnosis Design and Realization of Underground Linear Motor Pump Valve

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Abstract:

The linear motor pump bears the pumping work and other important work, once the valve failure, it threats to the safety of staff seriously. In order to ensure the safety of underground working environment, the abnormal current signal, vibration signals, differential pressure signal and absolute pressure signal are taken as the recognition base, a portable linear motor pump fault detection system is designed. The modular design process of hardware system and software system in detail are given. The data which collected from Victory Oil Field are taken for system test and detection instrument assembly. Test results show that the system can effectively collect failure signal and make an accurate diagnosis. It has the good performance in man-machine interaction, and it has very nice engineering application prospect.

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985-988

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March 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Zhang Yi, Zhou bingying, Hu Guangbo. Hardware System Design of Underwater Motor Pump Faults Diagnose Detector[J]. Computer & Digital Engineering, 2012, 40(11): 162-166.

Google Scholar

[2] Tian Shasha, Tang Wan, She Wei. Research of Improved MFCC Parameters in Signer-independent Speech Recognition[J]. BULLETIN OF SCIENCE AND TECHNOLOGY, 2013, 29(3): 139-142.

Google Scholar

[3] ZHANG Yi, SHENG Huiping, HU Guangbo. Study on Compressor Fault Diagnosis Based on Space Reconstruction and K-L Transform[J]. Compressor Technology, 2011, 4: 19-21.

Google Scholar

[4] Han Xiaodong. Fault Positioning Technology for Power Grid Based on Wavelet Neural Network[J]. Bulletin of Science and Technology. 2013; 29(6): 59-61.

Google Scholar

[5] Zheng Baodao, Wang Huaijie. Design of Remote Image Alarming System Based on ARM/GPRS. Computer Measurement & Control. 2013; 21(1): 149-151, 159.

Google Scholar